Offline Handwritten Signature Identification and Verification Using Multi-Resolution Gabor Wavelet

نویسنده:
, , , , ,
سال
: 2011
چکیده: In this paper, we are proposing a new method for offline (static) handwritten signature

identification and verification based on Gabor wavelet transform. The whole idea is offering a

simple and robust method for extracting features based on Gabor Wavelet which the dependency

of the method to the nationality of signer has been reduced to its minimal. After pre-processing

stage, that contains noise reduction and signature image normalisation by size and rotation, a

virtual grid is placed on the signature image. Gabor wavelet coefficients with different frequencies

and directions are computed on each points of this grid and then fed into a classifier. The shortest

weighted distance has been used as the classifier. The weight that is used as the coefficient for

computing the shortest distance is based on the distribution of instances in each of signature

classes.

As it was pointed out earlier, one of the advantages of this system is its capability of signature

identification and verification of different nationalities; thus it has been tested on four signature

dataset with different nationalities including Iranian, Turkish, South African and Spanish

signatures. Experimental results and the comparison of the proposed system with other systems

are consistent with desirable outcomes. Despite the use of the simplest method of classification

i.e. the nearest neighbour, the proposed algorithm in comparison with other algorithms has very

good capabilities. Comparing the results of our system with the accuracy of human's identification

and verification, it shows that human identification is more accurate but our proposed system has

a lower error rate in verification.
کلیدواژه(گان): Signature Identification,Signature Verification,Multi-Resolution Analysis,Gabor

Wavelet,Nearest Neighbour
کالکشن :
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